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Using Python to Predict Asset Price Reversals

Offered By: EuroPython Conference via YouTube

Tags

EuroPython Courses Python Courses pandas Courses Cryptocurrency Courses Financial Analysis Courses Stock Market Courses Plotly Courses Fibonacci Retracements Courses

Course Description

Overview

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Explore a 33-minute conference talk from EuroPython 2022 that demonstrates how to use Python, Pandas, and Plotly to predict potential trend reversals in stocks, cryptocurrencies, and other assets with OHLC (Open, High, Low, Close) data feeds. Learn techniques for identifying Fibonacci retracement levels and forecasting price reversal zones to determine optimal low-risk entry points for trades. Gain valuable insights into leveraging Python's data analysis and visualization capabilities for financial market analysis and decision-making.

Syllabus

Using python to predict Asset price reversals. - presented by Niall O'Connor


Taught by

EuroPython Conference

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